NVIDIA Jetson Nano vs Raspberry Pi 4 Model B
Side-by-side comparison of features, pricing, ratings, and alternatives.
The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads in a small, power-efficient form factor. It brings the power of modern artificial intelligence to edge devices, empowering developers to build autonomous machines and smart devices. Equipped with a 128-core Maxwell GPU and a quad-core ARM CPU, it supports high-resolution sensors and processes multiple neural networks concurrently. Backed by the comprehensive Jetson software stack, it streamlines the development and deployment of advanced robotics and IoT applications.
The Raspberry Pi 4 Model B represents a major leap forward in the popular single-board computer range, offering desktop-class performance that rivals entry-level x86 PC systems. Equipped with a high-performance quad-core processor and flexible memory options, it empowers users to build everything from smart home automation hubs to media centers and edge AI devices. Featuring true dual-monitor support at resolutions up to 4K, upgraded USB 3.0 ports, and genuine Gigabit Ethernet, this iteration provides the robust I/O capabilities required for demanding projects. Its active developer community and vast ecosystem of compatible HATs and accessories make it the definitive platform for learning to code and prototyping hardware inventions.
- Affordable entry point for edge AI development
- Comprehensive software stack via JetPack SDK
- Compact form factor with versatile I/O interfaces
- Active developer community with extensive tutorials
- Significant performance boost over previous generations with up to 8GB RAM options
- Dual 4K display output via two micro-HDMI ports
- True Gigabit Ethernet and USB 3.0 implementation
- Massive community support, documentation, and accessory ecosystem
- Limited onboard memory compared to higher-end Jetson models
- Discontinued official production affecting long-term availability
- Power supply requirements can be strict under heavy loads
- Requires active cooling or heatsinks under sustained heavy CPU loads
- Uses a non-standard USB-C power delivery implementation that can be picky with certain chargers
- Micro-HDMI cables require adapters for standard monitor connections
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The Verdict
AI-generated from listing dataIf you need dedicated AI edge compute and can afford a higher price, go with the Jetson Nano; for a cheaper, general‑purpose SBC with strong community support, the Raspberry Pi 4 is the safer default.
Key differences
- •AI performance: Jetson Nano offers 47 GFLOPS GPU for AI workloads, Pi 4 has no dedicated AI accelerator.
- •Price: Jetson Nano costs $99 vs. Pi 4 starting at $35.
- •Form factor & weight: Pi 4 is lighter (46 g) and smaller than Jetson Nano (140 g).
- •Connectivity: Pi 4 includes built‑in Wi‑Fi/Bluetooth; Jetson Nano requires separate M.2 Key E module.
- •Power source: Jetson Nano needs AC power; Pi 4 runs from USB‑C power adapters.
Performance
Jetson Nano provides 47 GFLOPS GPU for AI, while Pi 4 lacks a dedicated GPU for such tasks.
Build quality
Both are solid single‑board computers; no specific durability data provided.
Connectivity
Pi 4 has integrated Wi‑Fi 802.11ac and Bluetooth 5.0; Jetson Nano needs an optional M.2 module.
Power & efficiency
Pi 4 is USB‑C powered and lower power; Jetson Nano consumes as little as 5 W but requires AC supply.
Compatibility
Pi 4 benefits from a massive accessory ecosystem and community; Jetson Nano has a smaller, AI‑focused community.
Price & value
Pi 4 costs $35 versus Jetson Nano’s $99, offering more value for general computing.
Warranty & support
Both offer a 1‑year warranty; no further support details differ.
Choose NVIDIA Jetson Nano if…
AI developers needing on‑device inference and willing to pay for dedicated GPU.
Choose Raspberry Pi 4 Model B if…
General‑purpose makers, educators, or IoT projects needing low cost and built‑in wireless.
Common questions
Which board is cheaper?
The Raspberry Pi 4 starts at $35, while the Jetson Nano is $99.
Do both have built‑in Wi‑Fi?
Only the Raspberry Pi 4 includes integrated Wi‑Fi and Bluetooth; the Jetson Nano requires an optional M.2 module.
Can I run AI models on the Pi 4 as well as the Jetson Nano?
The Jetson Nano has a 128‑core Maxwell GPU delivering 47 GFLOPS for AI; the Pi 4 lacks a dedicated AI accelerator, so performance will be far lower.